Staff AI Engineer
General Motors
KerasPyTorchTensorflow
Lead AI/Machine Learning Engineer
The Walt Disney Company
full-time
Posted on:
Location Type: Hybrid
Location: Lake Buena Vista • California, Florida, New York, Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $171,600 - $230,100 per year
Job Level
Senior
Tech Stack
AWSAzureCloudGoogle Cloud PlatformPythonReact
About the role
- Design, build, and deploy complex, scalable AI solutions, including multi-step agentic workflows and multi-agent systems.
- Develop and orchestrate AI agents capable of complex reasoning, planning, and dynamic tool use to solve business problems.
- Own the end-to-end development lifecycle of AI models and applications – from implementation, rigorous testing, deployment, and operational monitoring – ensuring timely and successful completion.
- Write clean, maintainable, and production-ready code for AI/ML model training, evaluation, and serving.
- Collaborate closely with product managers, data scientists, client teams, vendors, and other partners to define requirements, adapt plans, and ensure successful outcomes.
- Act as a hands-on technical expert, guiding design decisions and ensuring adherence to best practices in AI development, LLMOps, testing, and deployment.
- Design, implement, and manage robust evaluation strategies and frameworks specifically for Large Language Models (LLMs) and the agentic systems built upon them, assessing model quality, task completion reliability, safety, and effectiveness.
- Identify and mitigate technical risks and roadblocks impeding project delivery.
- Represent the technical aspects of your initiatives with senior leaders and partners.
- Contribute hands-on to development and troubleshooting, especially on challenging technical problems, to ensure project momentum.
- Lead research and development efforts into emerging tools and technologies, with a particular focus on advances in AI, and drive their adoption where appropriate.
- May manage direct reports and/or lead junior team members, which include professional staff specializing in different technical disciplines and may also manage the work of further professional staff in a matrixed organization.
Requirements
- 7 + more years of combined experience designing, building, and deploying AI/ML solutions, including 1-2 years of hands-on experience with GenAI technologies.
- Experience with traditional ML algorithms and statistical modeling techniques.
- Proficiency in prompt engineering techniques and approaches.
- Strong proficiency in core programming languages used in AI/ML (e.g., Python).
- Deep understanding of AI agent architectures, including concepts like planning, memory, and tool integration (e.g., ReAct).
- Expertise with the AI/ML ecosystem, including LLM application and agentic frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex), and supporting libraries (e.g., Pydantic, Streamlit).
- Solid understanding and practical experience applying MLOps principles and utilizing associated tools for model deployment, monitoring, and lifecycle management of both models and agents.
- Proven experience developing and deploying solutions on at least one major cloud platform (e.g., AWS, Azure, GCP).
- Experience using or evaluating Large Language Models with code generation assistance tools (e.g., GitHub Copilot, Amazon Q Developer, Cursor).
- Familiarity with Vector Databases (e.g., Milvus, Pinecone, ChromaDB).
- Excellent analytical and problem-solving skills, with a proven ability to tackle complex technical challenges and navigate ambiguity.
- Strong communication and collaboration skills, with the ability to articulate technical concepts and drive alignment across cross-functional teams to achieve delivery goals.
- Demonstrated ability to partner effectively with a diverse set of clients and partners of varying job levels.
- Experience working effectively in a matrixed organization where the ability to influence others is critical to success.
Benefits
- A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI solutionsML solutionsGenAI technologiestraditional ML algorithmsstatistical modeling techniquesprompt engineeringprogramming languagesAI agent architecturesMLOps principlescloud platforms
Soft skills
analytical skillsproblem-solving skillscommunication skillscollaboration skillsability to influenceability to navigate ambiguityleadershipguiding design decisionspartnering effectivelymanaging direct reports
Similar jobs on JobTailor
Senior Machine Learning Engineer – Agent Engineering
GEICO
AirflowAWSAzureCassandraCloudJavaKafkaNoSQLPostgresPythonRaySpark+1 more
Staff Machine Learning Engineer
GEICO
AWSAzureCloudDistributed SystemsDockerETLGoogle Cloud PlatformJavaKubernetesPythonPyTorchScikit-Learn+4 more
AI Lead – Digital Transformation
RSM US LLP
Staff Product Manager – Messaging, Machine Learning, AI
Warner Bros. Discovery